Incorporating Quantitative Single Photon Emission Computed Tomography into Radiation Therapy Treatment Planning for Lung Cancer: Impact of Attenuation and Scatter Correction on the Single Photon Emission Computed Tomography–Weighted Mean Dose and Functional Lung Segmentation
To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)–weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer. Nine patients with lung cancer underwe...
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| Published in | International journal of radiation oncology, biology, physics Vol. 78; no. 2; pp. 587 - 594 |
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| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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New York, NY
Elsevier Inc
01.10.2010
Elsevier |
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| Abstract | To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)–weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer.
Nine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, …, 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V
20 for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes.
Functional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography–based attenuation correction was used.
When using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation. |
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| AbstractList | Purpose To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)–weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer. Methods and Materials Nine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, …, 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V20 for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes. Results Functional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography–based attenuation correction was used. Conclusion When using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation. To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)-weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer.PURPOSETo assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)-weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer.Nine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, …, 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V(20) for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes.METHODS AND MATERIALSNine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, …, 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V(20) for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes.Functional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography-based attenuation correction was used.RESULTSFunctional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography-based attenuation correction was used.When using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation.CONCLUSIONWhen using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation. To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)–weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer. Nine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, …, 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V 20 for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes. Functional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography–based attenuation correction was used. When using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation. Purpose: To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)-weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer. Methods and Materials: Nine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, ..., 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V{sub 20} for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes. Results: Functional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography-based attenuation correction was used. Conclusion: When using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation. To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)-weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer. Nine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, …, 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V(20) for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes. Functional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography-based attenuation correction was used. When using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation. |
| Author | Liu, Mitchell Celler, Anna Worsley, Daniel Thompson, Anna Shcherbinin, Sergey Moiseenko, Vitali Gill, Brad Sheehan, Finbar Fua, Tsien-Fei Powe, John Marks, Lawrence Yin, Lingshu Duzenli, Cheryl |
| Author_xml | – sequence: 1 givenname: Lingshu surname: Yin fullname: Yin, Lingshu email: lyin@bccancer.bc.ca organization: Medical Physics, Vancouver Cancer Centre, Vancouver, BC, Canada – sequence: 2 givenname: Sergey surname: Shcherbinin fullname: Shcherbinin, Sergey organization: Department of Radiology, University of British Columbia, Vancouver, BC, Canada – sequence: 3 givenname: Anna surname: Celler fullname: Celler, Anna organization: Department of Radiology, University of British Columbia, Vancouver, BC, Canada – sequence: 4 givenname: Anna surname: Thompson fullname: Thompson, Anna organization: Radiation Oncology, Vancouver Cancer Centre, Vancouver, BC, Canada – sequence: 5 givenname: Tsien-Fei surname: Fua fullname: Fua, Tsien-Fei organization: Radiation Oncology, Vancouver Cancer Centre, Vancouver, BC, Canada – sequence: 6 givenname: Mitchell surname: Liu fullname: Liu, Mitchell organization: Radiation Oncology, Fraser Valley Cancer Centre, Surrey, BC, Canada – sequence: 7 givenname: Cheryl surname: Duzenli fullname: Duzenli, Cheryl organization: Medical Physics, Vancouver Cancer Centre, Vancouver, BC, Canada – sequence: 8 givenname: Brad surname: Gill fullname: Gill, Brad organization: Medical Physics, Vancouver Cancer Centre, Vancouver, BC, Canada – sequence: 9 givenname: Finbar surname: Sheehan fullname: Sheehan, Finbar organization: Radiation Oncology, Vancouver Cancer Centre, Vancouver, BC, Canada – sequence: 10 givenname: John surname: Powe fullname: Powe, John organization: Nuclear Medicine, Vancouver General Hospital, Vancouver, BC, Canada – sequence: 11 givenname: Daniel surname: Worsley fullname: Worsley, Daniel organization: Nuclear Medicine, Vancouver General Hospital, Vancouver, BC, Canada – sequence: 12 givenname: Lawrence surname: Marks fullname: Marks, Lawrence organization: Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC – sequence: 13 givenname: Vitali surname: Moiseenko fullname: Moiseenko, Vitali organization: Medical Physics, Vancouver Cancer Centre, Vancouver, BC, Canada |
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| Keywords | SPECT-weighted mean dose Quantitative correction Functional lung segmentation Treatment planning Lung cancer Radionuclide study Lung disease Segmentation Image processing Respiratory disease Lung Malignant tumor Single photon emission tomography Radiotherapy Respiratory system Weight Bronchus disease Attenuation Corrections Cancer |
| Language | English |
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| References | Shcherbinin, Celler, Thompson (bib13) 2008; 35 McGuire, Zhou, Marks (bib8) 2006; 66 Thompson, Celler, Powe (bib14) 2008; 88 Seppenwoolde, Engelsman, De Jaeger (bib5) 2002; 63 Shioyama, Jang, Liu (bib11) 2007; 68 Lavrenkov, Christian, Partridge (bib9) 2007; 83 Lavrenkov, Singh, Christian (bib10) 2009; 91 Yorke, Jackson, Rosenzweig (bib1) 2002; 54 Vandervoort, Celler, Wells (bib16) 2005; 52 Marks, Sherouse, Munley (bib4) 1999; 26 Lind, Marks, Hollis (bib6) 2002; 54 Seppenwoolde, De Jaeger, Boersma (bib7) 2004; 60 Christian, Partridge, Nioutsikou (bib12) 2005; 77 Nioutsikou, Partridge, Bedford (bib17) 2005; 50 Seppenwoolde, De Jaeger, Boersma (bib3) 2004; 60 Wells, Celler, Harrop (bib15) 1998; 45 Graham, Purdy, Emami (bib2) 1999; 45 Wells (10.1016/j.ijrobp.2009.11.035_bib15) 1998; 45 Graham (10.1016/j.ijrobp.2009.11.035_bib2) 1999; 45 Vandervoort (10.1016/j.ijrobp.2009.11.035_bib16) 2005; 52 McGuire (10.1016/j.ijrobp.2009.11.035_bib8) 2006; 66 Seppenwoolde (10.1016/j.ijrobp.2009.11.035_bib3) 2004; 60 Seppenwoolde (10.1016/j.ijrobp.2009.11.035_bib5) 2002; 63 Nioutsikou (10.1016/j.ijrobp.2009.11.035_bib17) 2005; 50 Seppenwoolde (10.1016/j.ijrobp.2009.11.035_bib7) 2004; 60 Lavrenkov (10.1016/j.ijrobp.2009.11.035_bib9) 2007; 83 Thompson (10.1016/j.ijrobp.2009.11.035_bib14) 2008; 88 Yorke (10.1016/j.ijrobp.2009.11.035_bib1) 2002; 54 Shioyama (10.1016/j.ijrobp.2009.11.035_bib11) 2007; 68 Lavrenkov (10.1016/j.ijrobp.2009.11.035_bib10) 2009; 91 Marks (10.1016/j.ijrobp.2009.11.035_bib4) 1999; 26 Lind (10.1016/j.ijrobp.2009.11.035_bib6) 2002; 54 Christian (10.1016/j.ijrobp.2009.11.035_bib12) 2005; 77 Shcherbinin (10.1016/j.ijrobp.2009.11.035_bib13) 2008; 35 |
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| Snippet | To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)–weighted mean dose (SWMD)... Purpose To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)–weighted mean dose... To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)-weighted mean dose (SWMD)... Purpose: To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)-weighted mean... |
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| SubjectTerms | Algorithms ATTENUATION Biological and medical sciences BODY Carcinoma, Non-Small-Cell Lung - diagnostic imaging Carcinoma, Non-Small-Cell Lung - pathology Carcinoma, Non-Small-Cell Lung - radiotherapy COMPUTERIZED TOMOGRAPHY CORRECTIONS DIAGNOSTIC TECHNIQUES DISEASES DOSES EMISSION COMPUTED TOMOGRAPHY Functional lung segmentation Hematology, Oncology and Palliative Medicine Humans Image Interpretation, Computer-Assisted - methods Lung - diagnostic imaging Lung cancer Lung Neoplasms - diagnostic imaging Lung Neoplasms - pathology Lung Neoplasms - radiotherapy LUNGS Medical sciences MEDICINE NEOPLASMS NUCLEAR MEDICINE ORGANS Phantoms, Imaging PLANNING Pneumology Quantitative correction RADIATION DOSES Radiography RADIOLOGY RADIOLOGY AND NUCLEAR MEDICINE RADIOTHERAPY Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods RESPIRATORY SYSTEM Scattering, Radiation Sensitivity and Specificity SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY Small Cell Lung Carcinoma - diagnostic imaging Small Cell Lung Carcinoma - radiotherapy Software SPECT-weighted mean dose THERAPY TOMOGRAPHY Tomography, Emission-Computed, Single-Photon - methods Treatment planning Tumor Burden Tumors of the respiratory system and mediastinum |
| Title | Incorporating Quantitative Single Photon Emission Computed Tomography into Radiation Therapy Treatment Planning for Lung Cancer: Impact of Attenuation and Scatter Correction on the Single Photon Emission Computed Tomography–Weighted Mean Dose and Functional Lung Segmentation |
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